• 제목/요약/키워드: Novel electrical machine

검색결과 139건 처리시간 0.029초

철도 차량용 고출력 횡축형 전동기 최적설계에 관한 연구 (A Study on the Optimal Design of Linear Motor with Transverse Flux Configuration for Railway Traction System)

  • 강도현;방덕제
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 A
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    • pp.427-429
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    • 1999
  • According to the development of power electronic element(GTO. IGBT) and material for electrical machines(permanent magnet. super conductor), the technology for electrical machines is now a day rapidly developing. Here with, a novel electrical machine, based on the new conception of transverse flux configuration leads to a considerable increase in power density and enables simultaneously high efficiency. The transverse flux machine with PM excitation will be applied to gearless direct drives for railway traction system. The designed and measured performance of transverse machine for railway traction system revealed a great potential of system improvements to reduce linear motor mass.

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A Sensorless Rotor Position Estimation Scheme for IPMSM Using HF Signal Injection with Frequency and Amplitude Optimization

  • Lu, Jiadong;Liu, Jinglin;Hu, Yihua;Zhang, Xiaokang;Ni, Kai;Si, Jikai
    • Journal of Electrical Engineering and Technology
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    • 제13권5호
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    • pp.1945-1955
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    • 2018
  • High frequency signal injection (HFI) is an alternative method for estimating rotor position of interior permanent magnet synchronous motor (IPMSM). The general method of frequency and amplitude selection is based on error tolerance and experiments, and is usually set with only one group of HF parameters, which is not efficient for different working modes. This paper proposes a novel rotor position estimation scheme by HFI with optimized frequency and amplitude, based on the mathematic model of IPMSM. The requirements for standstill and low-speed operational modes are met by applying this novel scheme. Additionally, the effects of the frequency and amplitude of the injected HF signal on the position estimation results under different operating conditions are analyzed. Furthermore, an optimization method for HF parameter selection is proposed to make the estimation process more efficient under different working conditions according to error tolerance. The effectiveness of the propose scheme is verified by the experiments on an IPMSM motor prototype.

A Novel Filtering Method Based on a Nonlinear Tracking Differentiator for the Speed Measurement of Direct-drive Permanent Magnet Traction Machines

  • Wang, Gaolin;Wang, Bowen;Zhao, Nannan;Xu, Dianguo
    • Journal of Power Electronics
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    • 제17권2호
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    • pp.358-367
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    • 2017
  • This paper presents a novel filtering method for speed measurements to improve the low-speed performance of the direct-drive permanent magnet traction machines for elevators. Based on the theory of nonlinear tracking differentiator (NTD), this method, which can act as a high performance filter of a raw speed signal, obtains a more accurate speed feedback signal when applying a low-resolution encoder. In addition, it can relieve the interference caused by the position derivative for speed sampling. By analyzing the frequency response of the NTD, the influence of its parameters on the performance of the speed filtering is investigated. Compared with different types of low-pass filters, the proposed method shows a shorter time delay and a stronger ability in terms of noise suppression when the parameters are selected carefully. In addition, when using the measured speed signal through a nonlinear tracking differentiator as the feedback of the system, the motor runs more steadily at low speeds. As a result, the riding comfort of a direct-drive elevator can be improved. The feasibility of the proposed strategy was verified on an 11.7kW elevator traction machine using a commercial inverter.

Robust Camera Calibration using TSK Fuzzy Modeling

  • Lee, Hee-Sung;Hong, Sung-Jun;Kim, Eun-Tai
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제7권3호
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    • pp.216-220
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    • 2007
  • Camera calibration in machine vision is the process of determining the intrinsic camera parameters and the three-dimensional (3D) position and orientation of the camera frame relative to a certain world coordinate system. On the other hand, Takagi-Sugeno-Kang (TSK) fuzzy system is a very popular fuzzy system and approximates any nonlinear function to arbitrary accuracy with only a small number of fuzzy rules. It demonstrates not only nonlinear behavior but also transparent structure. In this paper, we present a novel and simple technique for camera calibration for machine vision using TSK fuzzy model. The proposed method divides the world into some regions according to camera view and uses the clustered 3D geometric knowledge. TSK fuzzy system is employed to estimate the camera parameters by combining partial information into complete 3D information. The experiments are performed to verify the proposed camera calibration.

Sensorless Control of Double-Sided Linear Switched Reluctance Machines with Eccentricities

  • Wang, Qianlong;Wu, Zhengfei;Jiang, Wei
    • Journal of Power Electronics
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    • 제19권5호
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    • pp.1216-1223
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    • 2019
  • The Double-sided Linear Switched Reluctance Machine (DLSRM) suffers from complex eccentricities in practical operations. A novel sensorless control method for a DLSRM with eccentricities is developed in this paper. The influences of eccentricities on the machine inductance characteristics and the estimated positions in sensorless control systems are discussed. A new position index, which is independent of eccentricities, is proposed according to an analysis of a DLSRM equivalent magnetic circuit. On the basis of this position index, the starting and low-velocity operation of eccentric DLSRMs are achieved. Experimental results obtained in the laboratory validate the proposed method.

Stabilization of Fixed Speed Wind Generator by using Variable Speed PM Wind Generator in Multi-Machine Power System

  • Rosyadi, Marwan;Takahashi, Rion;Muyeen, S.M.;Tamura, Junji
    • Journal of international Conference on Electrical Machines and Systems
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    • 제2권1호
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    • pp.111-119
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    • 2013
  • This paper present stabilization control of fixed speed wind generator by using variable speed permanent magnet wind generator in a wind farm connected with multi-machine power system. A novel direct-current based d-q vector control technique of back to back converter integrated with Fuzzy Logic Controller for optimal control configuration is proposed, in which both active and reactive powers delivered to a power grid system are controlled effectively. Simulation analyses have been performed using PSCAD/EMTDC. Simulation results show that the proposed control scheme is very effective to enhance the voltage stability of the wind farm during fault condition.

Parameters On-line Identification of Dual Three Phase Induction Motor by Voltage Vector Injection in Harmonic Subspace

  • Sheng, Shuang;Lu, Haifeng;Qu, Wenlong;Guo, Ruijie;Yang, Jinlei
    • Journal of international Conference on Electrical Machines and Systems
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    • 제2권3호
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    • pp.288-294
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    • 2013
  • This paper introduces a novel method of on-line identifying the stator resistance and leakage inductance of dual three phase induction motor (DTPIM). According to the machine mathematical model, the stator resistance and leakage inductance can be estimated using the voltage and current values in harmonic subspace. Thus a method of voltage vector injection in harmonic subspace (VVIHS) is proposed, which causes currents in harmonic space. Then the errors between command and actual harmonic currents are utilized to regulate the machine parameters, including stator resistance and leakage inductance. The principle is presented and analyzed in detail. Experimental results prove the feasibility and validity of proposed method.

입자군집 최적화를 이용한 SVM 기반 다항식 뉴럴 네트워크 분류기 설계 (Design of SVM-Based Polynomial Neural Networks Classifier Using Particle Swarm Optimization)

  • 노석범;오성권
    • 전기학회논문지
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    • 제67권8호
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    • pp.1071-1079
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    • 2018
  • In this study, the design methodology as well as network architecture of Support Vector Machine based Polynomial Neural Network, which is a kind of the dynamically generated neural networks, is introduced. The Support Vector Machine based polynomial neural networks is given as a novel network architecture redesigned with the aid of polynomial neural networks and Support Vector Machine. The generic polynomial neural networks, whose nodes are made of polynomials, are dynamically generated in each layer-wise. The individual nodes of the support vector machine based polynomial neural networks is constructed as a support vector machine, and the nodes as well as layers of the support vector machine based polynomial neural networks are dynamically generated as like the generation process of the generic polynomial neural networks. Support vector machine is well known as a sort of robust pattern classifiers. In addition, in order to enhance the structural flexibility as well as the classification performance of the proposed classifier, multi-objective particle swarm optimization is used. In other words, the optimization algorithm leads to sequentially successive generation of each layer of support vector based polynomial neural networks. The bench mark data sets are used to demonstrate the pattern classification performance of the proposed classifiers through the comparison of the generalization ability of the proposed classifier with some already studied classifiers.

Ropeless 승강기용 영구자석여자 횡자속 선형전동기 설계에 관한 연구 (A Study on the Design of PM Exited Transverse Flux Linear Motor for Ropeless Elevator)

  • 강도현;방덕제;김종무;정연호;김문환
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제49권3호
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    • pp.145-151
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    • 2000
  • The topological investigations regarding magnetic circuit geometry and winding form of the transverse flux machine have brought up a variety of constructable arrangements with different features for several types of application[1, 2]. Here with, a novel PM-exited linear motor with inner mover, based on the transverse flux configuration leads to a considerable increase in power density for moving part. In this study we designed PM-exited transverse flux linear motor for ropeless elevator, whose output power density is higher and weight is lighter than conventional linear synchronous motors. When the designed motor in this study is applied to ropeless elevator, it is possible to increase power density more than 400% comparing with PM exited linear synchronous motor. The result of this study can be utilized for ropeless elevator or gearless direct linear moving system with high output[3].

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Zero Voltage Soft Switching PWM High-Frequency Inverter with Active Inductor Snubber for Induction Heated Roller in New Type Copy Machine

  • Muraoka S.;Feng Y.L.;Kunimoto H.;Chandhaket S.;Okuno A.;Nakaoka M.
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2001년도 Proceedings ICPE 01 2001 International Conference on Power Electronics
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    • pp.75-79
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    • 2001
  • This paper presents a novel version of an active voltage clamped ZVS-PWM high frequency inverter using IGBTs for electromagnetic induction eddy current-based rolling drum heating in new generation copy and printing machines in consumer business use. The operating principle of this inverter circuit and unique features are described herein. Its constant frequency duty cycle (asymmetrical PWM) controlled voltage source quasi-resonant soft switching high frequency inverter employing IGBTs is proposed, which is capable of achieving stable and efficient zero voltage soft switching commutation over a widely specified power regulation range from full power to low power. The operating performances in a steady state of this inverter is discussed and evaluated on basis of simulation and experimental results as an induction heated roller in new generation copy machine.

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